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Manpreet Kailon engagement report

@preetkailon - 130K followers on X

Measured over 18 original posts from a 30-day window, last computed on October 1, 2026.

Engagement

Middle of its size range
Per follower
0.027%
of 130K followers
Per impression
0.429%
8.2K views on a typical post
Reach
6.30%
of its followers see a post
Typical post
35
interactions (median)
Saved
0.025%
2 bookmarks on a typical post
Posting rate
0.87/day
active 17% of days
Peak time
17:00 UTC
Thursday

A typical post picks up 35 interactions against 130K followers, an engagement rate of 0.027%. Measured over 18 original posts, its engagement rate beats 32% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 8.2K times each, and 0.429% of those impressions turn into an interaction. That is about 6.30% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.87 post a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 17:00 UTC, and Thursday is the busiest day of the week. Of the 18 posts sampled, 44% carry an image or video, 6% are part of a thread and 6% link out. The account's strongest tracked post pulled 29K interactions, about 840x its own typical post.

Measured over 18 original posts from a 30-day window, last computed on October 1, 2026.

Compared with accounts its own size

Manpreet Kailon's engagement rate beats 32% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 22% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.027%, Manpreet Kailon sits above the 25th percentile of the 204,956 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,956 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 17:00 UTC, and Thursday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video44% of posts+111%+108% to +115%34K
Outbound link6% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 44% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 6% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 321 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Sep 30, 2026840x their median

    Lots of discussion out there about our next model(!), so I wanted to give an early look as soon as possible. Introducing Gemini 4 Argon! It shows frontier performance in complex workflows, cyber defense and software engineering. Teams are using it extensively at Google, from coding to quantum computing, great feedback. Here’s a look at the benchmarks:

    25K2.2K1.3K1.2K3.4M viewsView on X
  • Sep 29, 20263.7x their median

    $NBIS One of my favorite setups is building here. Sellers keep defending $245–$250. You can see it in all those upper wicks getting rejected. Buyers keep stepping in at $220–$230. Every dip gets bought. Higher lows pressing into a flat ceiling. That's a squeeze, and squeezes this tight don't last long.

    115610012K viewsView on X
  • Oct 1, 20263.4x their median

    TRUMP RECENTLY TOLD AIDES HE EXPECTS TO RESUME BOMBING IRAN BY THE END OF NOVEMBER - WSJ

    881071323K viewsView on X
  • Oct 1, 20262.7x their median

    $MU gave the warning. $SNDK said “I’ll take it from here.” 😂📈 https://t.co/TImVbv5OXO

    83310015K viewsView on X
  • Sep 30, 20262.3x their median

    $HOOD Robinhood just crossed a major line: AI agents can now trade for you. Not through another app. Not through some API workaround. Inside Robinhood. The announcement came tonight at the HOOD Summit. And here’s the surprising part: More than 150,000 people have opened agent accounts since May. These agents are already using Robinhood’s tools nearly 30 million times a day. Next up: “Loops.” Your agent could watch the market while you sleep and trade when your rules are met. For now, there are some limits: It uses a separate account. Margin trading is not allowed. Manual approval is on by default. Everyday investors are getting tools that were once mostly used by professional trading firms.

    6769014K viewsView on X
  • Sep 30, 20262.1x their median

    $MU Micron just guided to an 86% gross margin. For a MEMORY company. That's software-level money. Revenue: $54.2B vs $51.1B expected EPS: $33.42 vs $31.60 expected Net income: $37.7B Q1 guide: Revenue: $61.5B vs $57.0B expected EPS: $38.15 vs $35.40 expected

    6744012K viewsView on X
  • Sep 29, 20261.8x their median

    $AMZN Amazon heading into its most important shopping period of the year October & November could be huge for AMZN. Retail spending picks up, Black Friday + Cyber Monday are coming, and institutions know Q4 is Amazon’s strongest seasonal period. If consumer spending stays strong, Amazon could have a very interesting Q4.

    5634010K viewsView on X
  • Oct 1, 2026

    $NVDA Typical Nvidia action. 😂 This thing loves to trade in a range for weeks before making a big move. 210–235 has been the range, and now we’re getting tight again near the highs. Every time it gets compressed like this, I start watching the range edges more closely. 235 is the level. If we finally break and hold above the range high, can open room to 250s.

    354707.8K viewsView on X
  • Oct 1, 2026

    $SPY V shape recovery will be nice..

    330406.0K viewsView on X
  • Oct 1, 2026

    $SNDK This is getting interesting. Since the lows, buyers have been defending that rising trendline and we're starting to get tighter again near the top. 1800/1840 is the big zone to watch. We've seen sellers step in here before, so I want to see a clean breakout and not just another wick. If buyers can finally push through and hold above this zone, we could see another leg higher. On the downside, 1500 is the area I want to watch if this trendline breaks. For now, structure is still holding. Just waiting to see if buyers can finally take out that resistance.

    232624.7K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

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Reading these numbers

A typical post picks up 35 interactions against 130K followers, an engagement rate of 0.027%. Measured over 18 original posts, its engagement rate beats 32% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 8.2K times each, and 0.429% of those impressions turn into an interaction. That is about 6.30% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.87 post a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 17:00 UTC, and Thursday is the busiest day of the week. Of the 18 posts sampled, 44% carry an image or video, 6% are part of a thread and 6% link out. The account's strongest tracked post pulled 29K interactions, about 840x its own typical post.

What is Manpreet Kailon's engagement rate on X?
Manpreet Kailon (@preetkailon) has an engagement rate of 0.027%, based on the median interactions across 18 original posts from the last 30 days against 129,605 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.027%, Manpreet Kailon sits above the 25th percentile of the 204,956 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @preetkailon have real engagement?
Its engagement rate beats 32% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @preetkailon post?
Most posts go out around 17:00 UTC, and Thursday is its busiest day, at roughly 0.87 posts per day across the measured window.

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